Palmprint and Iris Based Authentication and Secure Key Exchange Against Dictionary Attacks

"The multimodal biometric based user authentication systems are highly secured and efficient to use and place total trust on the authentication server where biometric verification data are stored in a central database. Such systems are prone to dictionary attacks initiated at the server side. In this paper, the authors propose an efficient approach based on multimodal biometrics (palmprint and iris) based user authentication and key exchange system. In this system, texture properties are extracted from the palmprint and iris images are stored as encrypted binary template in the server's database, to overcome the dictionary attacks mounted by the server."